Embedding Model
An embedding model converts text, images, or other data into dense numerical vectors that capture semantic meaning, so that items with similar meaning end up close together in vector space and can be compared mathematically.
4 resources across 1 library
Glossary Terms(4)
Command R+
Command R+ is Cohere's flagship large language model, released in April 2024, optimized for enterprise use cases such as retrieval-augmented generation, tool u…
Embedding Model
An embedding model converts text, images, or other data into dense numerical vectors that capture semantic meaning, so that items with similar meaning end up c…
Reranker Model
A reranker model takes a shortlist of candidate results — usually produced by a fast initial retrieval step such as embedding-based vector search — and re-scor…
Amazon Titan
Amazon Titan is a family of foundation models developed by AWS, offered through Amazon Bedrock, covering text generation, embeddings, and image generation, des…